Results 31 to 40 of about 4,366 (193)

Feature Extraction of Gear Fault Signal Based on Sobel Operator and WHT

Shock and Vibration, 2013
Taking Wigner-Ville distribution of gear fault signal as a picture, Sobel operator was applied for edge detection of picture and then Hough transform was used to extract signal feature.
Jian-Hua Cai, Wei-Wen Hu
doaj   +1 more source

Dynamical entropic measure of nonclassicality of phase-dependent family of Schrödinger cat states

Scientific Reports, 2023
The phase-space approach based on the Wigner distribution function is used to study the quantum dynamics of the three families of the Schrödinger cat states identified as the even, odd, and Yurke–Stoler states.
M. Kalka, B. J. Spisak, D. Woźniak, M. Wołoszyn, D. Kołaczek   +4 more
doaj   +1 more source

A microscopic ancient river channel identification method based on maximum entropy principle and Wigner-Ville Distribution and its application

Petroleum Exploration and Development, 2021
In view of the problem of fine characterization of narrow and thin channels, the maximum entropy criterion is used to enhance the focusing characteristics of Wigner-Ville Distribution.
Tianji XU, Bingjie CHENG, Shuangchen NIU, Zhengye QIN, Zhenzhen WANG   +4 more
doaj   +1 more source

Wigner Distributions of Quark [PDF]

International Journal of Modern Physics: Conference Series, 2016
Wigner distribution functions are the quantum analogue of the classical phase space distribution and being quantum implies that they are not genuine phase space distribution and thus lack any probabilistic interpretation. Nevertheless, Wigner distributions are still interesting since they can be related to both generalized parton distributions (GPDs ...
Asmita Mukherjee, Sreeraj Nair, Vikash Kumar Ojha   +2 more
openaire   +1 more source

Tunable Negative Thermal Expansion in Fe/Cr‐Substituted Nd2Co17 Compounds via Magnetoelastic Coupling

Advanced Science, EarlyView.
This study achieves anisotropic thermal expansion tuning in Nd2(Co1‐xFex)17‐yCry compounds via a magnetoelastic strategy. Variable‐temperature synchrotron X‐ray diffraction reveals that increased Fe content induces switchable lattice responses. Compositional control reduces the volume expansion coefficient αV by 20% (x═0.7) and modulates TC (442–625 K),
Jiayuan Li, Chenfei Qv, Haoran Tu, Qinfen Gu, Wayne D. Hutchison, Stewart J. Campbell, Zhenxiang Cheng, Wenquan Wang, Jianli Wang   +8 more
wiley   +1 more source

Real time design and implementation of MTD-SWVD using FPGA [PDF]

Journal of Engineering Science and Military Technologies, 2018
Recently, Summed Wigner Ville Distribution-based Moving Target Detection (SWVD-MTD) has been proposed by the authors to replace the traditional Fast Fourier Transform (FFT) based MTD or conventional Wigner Ville Distribution (WVD)-based MTD[1].
Ibrahim Metwally, Fathy Ahmed, Mohamed Amen, Mohamed Al- Ghonaimi   +3 more
doaj   +1 more source

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks

Advanced Science, EarlyView.
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu, Longfei Lv, Fan Zhang, Si Zhou, Weiwei Gao, Jijun Zhao   +5 more
wiley   +1 more source

Free Metaplectic K-Wigner Distribution: Uncertainty Principles and Applications

Fractal and Fractional
This study focuses on a novel parameterized Wigner distribution, which is an organic integration of the free metaplectic Wigner distribution and the K-Wigner distribution.
Long Wang, Ze Qin, Zhichao Zhang, Jianwei Zhang   +3 more
doaj   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

Advanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu, Claire Schlesinger, Karan Mudaliar, Jordan Leung, Robin Walters, Peter Schindler   +5 more
wiley   +1 more source

The Fractional Fourier Transform and Its Application to Energy Localization Problems

EURASIP Journal on Advances in Signal Processing, 2003
Applying the fractional Fourier transform (FRFT) and the Wigner distribution on a signal in a cascade fashion is equivalent to a rotation of the time and frequency parameters of the Wigner distribution.
ter Morsche Hennie G, Oonincx Patrick J
doaj   +1 more source